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[Intel GPU] format XPU oneDNN integration codes #139721
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đź”— Helpful Linksđź§Ş See artifacts and rendered test results at hud.pytorch.org/pr/139721
Note: Links to docs will display an error until the docs builds have been completed. âś… No FailuresAs of commit e55b68d with merge base ffb9790 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
Lots of formatting are required. |
Thanks, I will re-request your review when this PR is done. |
Pls. ensure the ci signal is green |
@etaf is handling this CI issue. I would rebase the PR once the issue fixed. |
@pytorchbot started a rebase job onto refs/remotes/origin/viable/strict. Check the current status here |
Rebase failed due to Command
Raised by https://github.com/pytorch/pytorch/actions/runs/11763022477 |
@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
# Motivation This PR is a precursor to #133080. The PR extracts common logics in convolution and quantized convolution into `Utils.cpp`. With such modification, these two operators could share codes like input format querying, op layout querying. Pull Request resolved: #139580 Approved by: https://github.com/EikanWang, https://github.com/guangyey, https://github.com/malfet ghstack dependencies: #139721
# Motivation This PR add XPU oneDNN integration codes into lintrunner config `.lintrunner.toml`, which would format cpp source and cpp headers codes at `aten/src/ATen/native/mkldnn/xpu/` and `aten/src/ATen/native/mkldnn/xpu/detail/` Pull Request resolved: pytorch#139721 Approved by: https://github.com/guangyey, https://github.com/cyyever, https://github.com/EikanWang, https://github.com/Skylion007, https://github.com/malfet
# Motivation This PR is a precursor to pytorch#133080. The PR extracts common logics in convolution and quantized convolution into `Utils.cpp`. With such modification, these two operators could share codes like input format querying, op layout querying. Pull Request resolved: pytorch#139580 Approved by: https://github.com/EikanWang, https://github.com/guangyey, https://github.com/malfet ghstack dependencies: pytorch#139721
# Motivation This PR add XPU oneDNN integration codes into lintrunner config `.lintrunner.toml`, which would format cpp source and cpp headers codes at `aten/src/ATen/native/mkldnn/xpu/` and `aten/src/ATen/native/mkldnn/xpu/detail/` Pull Request resolved: pytorch#139721 Approved by: https://github.com/guangyey, https://github.com/cyyever, https://github.com/EikanWang, https://github.com/Skylion007, https://github.com/malfet
# Motivation This PR is a precursor to pytorch#133080. The PR extracts common logics in convolution and quantized convolution into `Utils.cpp`. With such modification, these two operators could share codes like input format querying, op layout querying. Pull Request resolved: pytorch#139580 Approved by: https://github.com/EikanWang, https://github.com/guangyey, https://github.com/malfet ghstack dependencies: pytorch#139721
Motivation
This PR add XPU oneDNN integration codes into lintrunner config
.lintrunner.toml
, which would format cpp source and cpp headers codes ataten/src/ATen/native/mkldnn/xpu/
andaten/src/ATen/native/mkldnn/xpu/detail/
Stack from ghstack (oldest at bottom):
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @voznesenskym @penguinwu @EikanWang @Guobing-Chen @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov